DATA SCIENCE RESPONSIBILITY MODEL

Description

Development of voluntary standards for data science processes, evaluation of fairness, ethics, BIAS accountability, transparency, explainability and responsibility of data science processes; Testing, analysis and evaluation of the goods and services of others to determine conformity with certification standards; Testing, analysis, and evaluation of the goods of others to assure compliance with industry standards; Testing, analysis, and evaluation of the knowledge, skills and abilities of others in the field of data science processes, evaluation of fairness, ethics, BIAS accountability, transparency, explainability and responsibility of data science processes to determine conformity with certification standards; Testing, analysis, and evaluation of data science processes, evaluation of fairness, ethics, BIAS accountability, transparency, explainability and responsibility of data science processes to assure compliance with industry standards; Testing, analysis, and evaluation of data science processes, evaluation of fairness, ethics, BIAS accountability, transparency, explainability and responsibility of data science processes to determine conformity with certification standards